chest x-raytechnique optimizationPortable x-ray examinations often account for a large percentage of all radiographic examinations. Currently, portable examinations do not employ automatic exposure control (AEC). To aid in the design of a size-specific technique chart, acrylic slabs of various ...
COPD, chronic obstructive pulmonary disease; GOLD, the global initiative for chronic obstructive lung disease; PEF, pulmonary function test; CXR, chest X-ray; BMI, body mass index; AUC, area under the curve Full size image Statistical analysis Measurement data with normal distribution were ...
Chest X-ray (CXR) images have been one of the important diagnosis tools used in the COVID-19 disease diagnosis. Deep learning (DL)-based methods have been used heavily to analyze these images. Compared to other DL-based methods, the bag of deep visual words-based method (BoDVW) proposed...
To evaluate the mean skill level of radiology residents in chest X-ray (CXR) reading, with regard to cognitive mechanisms involved in this task and to investigate for potential factors influencing residents’ skill. Materials and methods Eighty-one residents were evaluated through a test set includi...
This technique removes the area of the chest X-ray associated with pneumonia and replaces it with pixels that are not associated with pneumonia in order to attract the CNN's attention. For segmentation and classifying the lung regions, U-Net and SENet architecture were used. Results for the ...
Of these 77 respondents, only 74% ( n =57) were aware of high-kV technique as the recommended procedure for PA chest X-ray. Departmental protocols (technique chart with exposure factors) were also non-existent in all hospitals/diagnostic centres used in this study. Thirty-one respondents ...
COVID-19 classification using deep feature concatenation technique. J. Ambient. Intell. Humaniz. Comput. 2021, 1–19. [Google Scholar] [CrossRef] [PubMed] Apostolopoulos, I.D.; Mpesiana, T.A. Covid-19: Automatic detection from X-ray images utilizing transfer learning with convolutional ...
To further aid medical professionals in the manual review of X-rays, we implemented the CNN activation mapping technique Score-CAM, which generates a heat map over an X-ray to illustrate which areas in the scan are most influential over the ultimate diagnosis. xRGM-NET achieved an overall ...
Neutropenia blunts the immune response and the inflammatory process, making diagnostic modalities, such as chest X-ray, ineffective due to low sensitivity [7]. The modern approach to the neutropenic patient with fever is the diagnostic-driven or pre-emptive approach, when the decision to start ...
COVID-19 detection; federated learning; convolutional neural network; differential privacy stochastic gradient descent; spatial pyramid pooling layer; chest X-ray images; COVID-19 symptoms1. Introduction The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (...